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Extract information from the internet using Web Scraping in order to acquire datasets describing Rwanda's popularity. Perform an exploratory data analysis in order to visualize Rwanda's popularity growth.
For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits an…
The "Rwanda-Traffic-Guide-Project" repository is a comprehensive web application designed to provide users with essential traffic information and guidance across Rwanda. Developed with a focus on enhancing road safety and efficiency, this project aims to offer real-time updates, route planning, and essential traffic regulations.
Repository for B-Corp social enterprise operating in Rwanda with artisan-shoemakers, challenging the West to walk a mile in their shoes to more deeply understand poverty while sustainably crafting recycled-tire sandals.
An API providing extensive Rwanda's financial market data to support informed decision-making. The API offers real-time and historical market data, company fundamentals, technical indicators, corporate actions, and market news.
In this project, you will analyze a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.